Title: Information granules for medical infonomics
Authors: Sayed Sayeed Ahmad; Harsh Purohit; Firas N. Mohammed; Manuj Darbari
Addresses: College of Engineering and Computing, Al Ghurair University, P.O. Box: 37374, Dubai, UAE ' Faculty of Management Studies, Banasthali University, P.O. Banasthali Vidyapith, Rajasthan – 304022, India ' College of Engineering and Computing, Al Ghurair University, P.O. Box: 37374, Dubai, UAE ' Department of Computer Science and Engineering, BBD University, Faizabad Road, Lucknow, Uttar Pradesh – 227105, India
Abstract: The paper highlights the medical diagnostic model using infonomics principles and granular computing. The paper proposes a framework using information valuation terms like: utility, refresh rate and granular elasticity of information with fuzzy rule-based system for developing medical information granules utilised for creation of knowledge base.
Keywords: medical diagnosis; medical infonomics; fuzzy granulerisation; modelling; granular computing; fuzzy rule-based systems; fuzzy logic; knowledge base.
International Journal of Information and Operations Management Education, 2013 Vol.5 No.3, pp.205 - 213
Received: 11 Feb 2013
Accepted: 17 Apr 2013
Published online: 18 Jul 2014 *